Machine Learning Services: Unlock Value from Business Processes and Realize ROI

Web data, emails, texts, instant messages, digital records, social media – each of these data sources hold an enormous volume of unstructured text – and valuable data. Unlocking intelligence from this unstructured data is daunting, but critical ­ from patent searches and fraud detection to law enforcement and risk assessment. Xoriant NLPro is a natural, language-based automation platform that extracts and analyzes relevant information from documents.

Turbulent markets are prioritizing the need to move the needle on automation. Xoriant RPA can dig deep into the text of structured and unstructured data to find meaning. You can create software robots, or “bots,” that can learn, mimic and execute rules-based business processes. Just show your bots what to do, then let them do the work.

Finally, you can unravel the mystery of getting machines and computers to understand our world well enough to help achieve your business vision. Xoriant experts can help you create and train your computer vision model with large-scale, custom-labeled datasets. Reduce time to ROI and mitigate sub-par model performance with high-quality data, annotated and validated by task-trained human annotators and ML-enhanced tools.

Reinforcement learning is a behavioral learning model. The algorithm receives feedback from the data analysis, guiding the user to the best outcome. Reinforcement learning differs from other types of supervised learning, because the system isn’t trained with the sample data set. Rather, the system learns through trial and error. Therefore, a sequence of successful decisions will result in the process being reinforced, because it best solves the problem at hand.

Based on time series and event data, Xoriant will design your Predictive Model to generate probable event outcomes such as future data or transaction volumes, likelihood of failure, etc. We specialize in technologies that support rapid growth and the need to analyze this data and find ways to automate and predict issues before they occur.